2010 – 2019 © GeneXplain GmbH

2010 – 2019 © GeneXplain GmbH

PROTEOME ™ (HumanPSD ™ + TRANSPATH ®) has a wealth of information linking Pathway
with targets, drugs and clinical trials.

PROTEOME ™ allows the user to do amazing discoveries by linking the clinical phenotype (disease) with the target of the drug through the drug and linking it with the drug-related pathway.

HumanPSD ™ has a database of Clinical-Trial and Drug as well as Curated Data, which collects vast protein and miRNA-related papers such as Human, Mouse, and Rat. It has abundant ability to connect Target-Drug, Target-Clinical Trial pathway Information resources. You can discover biological relationships between genes and identify and rank Clinical-Targets based on known functional characteristics.

TRANSPATH® can be used as an encyclopedia of a single transduction or metabolic pathway. More than 500,000 Signal & Metabolic Databases from more than 300,000 Human, Mouse and Rat Signal and Metabolic Information and Articles are being constructed. You can visually check the pathway between the target and target, and identify the major control factors as potential drug targets. You can also quickly see information about signaling and metabolic pathway components and responses without document search.

2010 – 2019 © GeneXplain GmbH

Preview

Main Features

  • Find genes and pathways associated with a particular disease

  • Find diseases and drugs associated with particular gene

  • Map functional attributes to your uploaded gene set or use the Ontology Browser to select defined sets of genes/molecules

  • Functional analysis: Identify for your gene set shared attributes (Gene Ontology, Expression pattern, Disease association)

  • Pathway Visualization: Explore canonical signaling and metabolic pathways or build, based on curated relationships, custom networks, and overlay known disease and drug associations

  • Network cluster analysis: Identify networks enriched with members of your gene set

2010 – 2019 © GeneXplain GmbH

PROTEOME™ Database

2010 – 2019 © GeneXplain GmbH